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Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

Neural networks, 2018-11, Vol.107, p.3-11

2018

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Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I

1, 2016

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Canonical cortical circuits and the duality of Bayesian inference and optimal control

Current opinion in behavioral sciences, 2021-10, Vol.41, p.160-167

Doya, Kenji

2021

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Forward and inverse reinforcement learning sharing network weights and hyperparameters

Neural networks, 2021-12, Vol.144, p.138-153

2021

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Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV

1, 2016

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Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III

1, 2016

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Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II

1, 2016

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Distinct neural representation in the dorsolateral, dorsomedial, and ventral parts of the striatum during fixed- and free-choice tasks

The Journal of neuroscience, 2015-02, Vol.35 (8), p.3499-3514

2015

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Neural Networks special issue on Artificial Intelligence and Brain Science

Neural networks, 2022-11, Vol.155, p.328-329

2022

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Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks

PLoS computational biology, 2023-08, Vol.19 (8), p.e1011385-e1011385

2023

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Validation of Decision-Making Models and Analysis of Decision Variables in the Rat Basal Ganglia

The Journal of neuroscience, 2009-08, Vol.29 (31), p.9861-9874

2009

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Reward probability and timing uncertainty alter the effect of dorsal raphe serotonin neurons on patience

Nature communications, 2018-06, Vol.9 (1), p.2048-11, Article 2048

2018

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Synergizing habits and goals with variational Bayes

Nature communications, 2024-05, Vol.15 (1), p.4461-4461, Article 4461

2024

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Neural substrate of dynamic Bayesian inference in the cerebral cortex

Nature neuroscience, 2016-12, Vol.19 (12), p.1682

2016

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Reinforcement Learning in Continuous Time and Space

Neural computation, 2000-01, Vol.12 (1), p.219-245

Doya, Kenji

2000

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Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit

Current opinion in neurobiology, 2011-06, Vol.21 (3), p.368-373

2011

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Optogenetic Activation of Dorsal Raphe Serotonin Neurons Enhances Patience for Future Rewards

Current biology, 2014-09, Vol.24 (17), p.2033-2040

2014

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Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks

Neural networks, 2020-09, Vol.129, p.149-162

2020

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Identification of depression subtypes and relevant brain regions using a data-driven approach

Scientific reports, 2018-09, Vol.8 (1), p.14082-13, Article 14082

2018

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Representation of Action-Specific Reward Values in the Striatum

Science (American Association for the Advancement of Science), 2005-11, Vol.310 (5752), p.1337-1340

2005

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Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

PloS one, 2017-07, Vol.12 (7), p.e0179638-e0179638

2017

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The computational neurobiology of learning and reward

Current opinion in neurobiology, 2006-04, Vol.16 (2), p.199-204

2006

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Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model

NeuroImage (Orlando, Fla.), 2020-12, Vol.223, p.117318-117318, Article 117318

2020

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Activation of dorsal raphe serotonin neurons underlies waiting for delayed rewards

The Journal of neuroscience, 2011-01, Vol.31 (2), p.469-479

2011

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A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection

The European journal of neuroscience, 2021-04, Vol.53 (7), p.2254-2277

2021

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Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part I

Canonical cortical circuits and the duality of Bayesian inference and optimal control

Forward and inverse reinforcement learning sharing network weights and hyperparameters

Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part IV

Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part III

Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II

Distinct neural representation in the dorsolateral, dorsomedial, and ventral parts of the striatum during fixed- and free-choice tasks

Neural Networks special issue on Artificial Intelligence and Brain Science

Enhancing reinforcement learning models by including direct and indirect pathways improves performance on striatal dependent tasks

Validation of Decision-Making Models and Analysis of Decision Variables in the Rat Basal Ganglia

Reward probability and timing uncertainty alter the effect of dorsal raphe serotonin neurons on patience

Synergizing habits and goals with variational Bayes

Neural substrate of dynamic Bayesian inference in the cerebral cortex

Reinforcement Learning in Continuous Time and Space

Multiple representations and algorithms for reinforcement learning in the cortico-basal ganglia circuit

Optogenetic Activation of Dorsal Raphe Serotonin Neurons Enhances Patience for Future Rewards

Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks

Identification of depression subtypes and relevant brain regions using a data-driven approach

Representation of Action-Specific Reward Values in the Striatum

Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

The computational neurobiology of learning and reward

Diffusion functional MRI reveals global brain network functional abnormalities driven by targeted local activity in a neuropsychiatric disease mouse model

Activation of dorsal raphe serotonin neurons underlies waiting for delayed rewards

A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection

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